Optimising Resource Efficiency in Future Mobile Communications
Lead Research Organisation:
University of Southampton
Department Name: Electronics and Computer Science
Abstract
Mobile communication systems are becoming more and more complex to design (by researchers), operate (by the operators) and used by the people in the street. Mobile users now wish to be always connected, irrespective of time and place, and have access to a range of new services to help him/her in everyday life, all at the lowest possible cost. Currently no one knows how to evaluate whether a system is efficient or not in such provision. The reason for this is the huge number of parameters involved which collectively influence system efficiency. So far the practice has been to use a subset of such parameters to define localised efficiency -- but this does not provide overall efficiency and it will not lead to low cost or optimum use of scare spectrum. There are three important criteria which need to be considered and designed together to achieve a highly efficient mobile system. These are: quality of offered service, capacity and the cost of the system. Each of these criteria are influenced by a large number of parameters individually, where each have different weightings. Optimum design needs to find a fine balance between the three different criteria and yet currently there is no technique available which enables them to be optimised together to provide the required low cost solution. What makes this difficult is that a mobile system is dynamic by nature in terms of: range of mobility of users, wide range of operational environments, wide range of services with different bit rates and expected qualities, etc. This all points to requirements for a system with a certain degree of adaptability so that the system can self-organise and adapt itself to changing conditions. Currently systems are designed and operated on more or less fixed technique and parameters. These include the design of air-interface, media access control, handover algorithms, cell sizes and fixed frequency band allocation which all lead to wastage of resources and expensive solutions. The mobile systems of the future, addressed herein, are continuously adaptable and reconfigurable and respond automatically to the conditions of environments and user demands. It is only by engaging with these factors that efficiency can be maximised and the required low cost new services can be delivered to users. The challenge of the research described herein is how to collectively design such very complex networks so that users, service providers and network operators will all consider it efficient and cost effective to participate in the mobile vision of the future.
People |
ORCID iD |
Lajos Hanzo (Principal Investigator) |
Publications

Cane R
(2021)
Experimental Characterization of Fault-Tolerant Circuits in Small-Scale Quantum Processors
in IEEE Access

He D
(2021)
Deep Learning-Assisted TeraHertz QPSK Detection Relying on Single-Bit Quantization
in IEEE Transactions on Communications

Chen J
(2021)
Factor Graphs for Support Identification in Compressive Sensing Aided Wireless Sensor Networks
in IEEE Sensors Journal

Zhao L
(2021)
Open-Source Multi-Access Edge Computing for 6G: Opportunities and Challenges
in IEEE Access

Xu K
(2021)
MIMO-Aided Nonlinear Hybrid Transceiver Design for Multiuser Mmwave Systems Relying on Tomlinson-Harashima Precoding
in IEEE Transactions on Vehicular Technology

Srivastava S
(2021)
Bayesian Learning Aided Sparse Channel Estimation for Orthogonal Time Frequency Space Modulated Systems
in IEEE Transactions on Vehicular Technology

Xiang L
(2021)
Soft-Output Successive Cancellation Stack Polar Decoder
in IEEE Transactions on Vehicular Technology

Zhu W
(2021)
A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks
in IEEE Transactions on Communications

Srivastava S
(2021)
Sparse, Group-Sparse, and Online Bayesian Learning Aided Channel Estimation for Doubly-Selective mmWave Hybrid MIMO OFDM Systems
in IEEE Transactions on Communications

Ma Y
(2021)
Parametric Bilinear Iterative Generalized Approximate Message Passing Reception of FTN Multi-Carrier Signaling
in IEEE Transactions on Communications

Chang H
(2021)
Low-Complexity Adaptive Optics Aided Orbital Angular Momentum Based Wireless Communications
in IEEE Transactions on Vehicular Technology

Sui Z
(2021)
Approximate Message Passing Algorithms for Low Complexity OFDM-IM Detection
in IEEE Transactions on Vehicular Technology

Gong S
(2021)
A Unified MIMO Optimization Framework Relying on the KKT Conditions
in IEEE Transactions on Communications

Rajput K
(2021)
Bayesian Learning-Based Linear Decentralized Sparse Parameter Estimation in MIMO Wireless Sensor Networks Relying on Imperfect CSI
in IEEE Transactions on Communications

Ma Y
(2022)
Generalized Approximate Message Passing Equalization for Multi-Carrier Faster-Than-Nyquist Signaling
in IEEE Transactions on Vehicular Technology

Wang K
(2022)
Joint Task Offloading and Caching for Massive MIMO-Aided Multi-Tier Computing Networks
in IEEE Transactions on Communications

An J
(2022)
Low-Complexity Channel Estimation and Passive Beamforming for RIS-Assisted MIMO Systems Relying on Discrete Phase Shifts
in IEEE Transactions on Communications

Xiong Y
(2022)
Quantum Error Mitigation Relying on Permutation Filtering
in IEEE Transactions on Communications

Cao Y
(2022)
The Evolution of Quantum Key Distribution Networks: On the Road to the Qinternet
in IEEE Communications Surveys & Tutorials

Hou T
(2022)
MIMO Assisted Networks Relying on Intelligent Reflective Surfaces: A Stochastic Geometry Based Analysis
in IEEE Transactions on Vehicular Technology

Li S
(2022)
Faster-Than-Nyquist Asynchronous NOMA Outperforms Synchronous NOMA
in IEEE Journal on Selected Areas in Communications

Van Luong T
(2022)
Deep Learning-Aided Optical IM/DD OFDM Approaches the Throughput of RF-OFDM
in IEEE Journal on Selected Areas in Communications

An J
(2022)
Low-Complexity Improved-Rate Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis
in IEEE Transactions on Vehicular Technology

Hoang T
(2022)
Deep Learning Aided Physical-Layer Security: The Security Versus Reliability Trade-Off
in IEEE Transactions on Cognitive Communications and Networking

Srivastava S
(2022)
Bayesian Learning Aided Simultaneous Row and Group Sparse Channel Estimation in Orthogonal Time Frequency Space Modulated MIMO Systems
in IEEE Transactions on Communications

Liu K
(2022)
Compact User-Specific Reconfigurable Intelligent Surfaces for Uplink Transmission
in IEEE Transactions on Communications

Liu D
(2022)
Deep-Learning-Aided Packet Routing in Aeronautical Ad Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multiobjective Optimization
in IEEE Internet of Things Journal

Ragheb M
(2022)
On the Physical Layer Security of Untrusted Millimeter Wave Relaying Networks: A Stochastic Geometry Approach
in IEEE Transactions on Information Forensics and Security

Wang J
(2022)
Unsourced Massive Random Access Scheme Exploiting Reed-Muller Sequences
in IEEE Transactions on Communications

Zhang X
(2022)
Machine-Learning-Aided Optical OFDM for Intensity Modulated Direct Detection
in Journal of Lightwave Technology

Shi Q
(2022)
Low-Complexity Iterative Detection for Dual-Mode Index Modulation in Dispersive Nonlinear Satellite Channels
in IEEE Transactions on Communications

Peng Z
(2022)
Multi-Pair Two-Way Massive MIMO DF Relaying Over Rician Fading Channels Under Imperfect CSI
in IEEE Wireless Communications Letters

Zhao L
(2022)
Optimization of the Power-to-Velocity Ratio in the Downlink of Vehicular Networks
in IEEE Transactions on Vehicular Technology

Chandra D
(2022)
Direct Quantum Communications in the Presence of Realistic Noisy Entanglement
in IEEE Transactions on Communications

Nasir A
(2022)
Relay-Aided Multi-User OFDM Relying on Joint Wireless Power Transfer and Self-Interference Recycling
in IEEE Transactions on Communications

Wang Y
(2022)
RIS-Aided Hybrid Massive MIMO Systems Relying on Adaptive-Resolution ADCs: Robust Beamforming Design and Resource Allocation
in IEEE Transactions on Vehicular Technology

Yu H
(2022)
Maximizing the Geometric Mean of User-Rates to Improve Rate-Fairness: Proper vs. Improper Gaussian Signaling
in IEEE Transactions on Wireless Communications

Xu C
(2022)
Reconfigurable Intelligent Surface Assisted Multi-Carrier Wireless Systems for Doubly Selective High-Mobility Ricean Channels
in IEEE Transactions on Vehicular Technology

Xiong Y
(2022)
The Accuracy vs. Sampling Overhead Trade-off in Quantum Error Mitigation Using Monte Carlo-Based Channel Inversion
in IEEE Transactions on Communications

Hoang T
(2022)
RIS-Aided AANETs: Security Maximization Relying on Unsupervised Projection-Based Neural Networks
in IEEE Transactions on Vehicular Technology

Chandra D
(2023)
EXIT-Chart Aided Design of Irregular Multiple-Rate Quantum Turbo Block Codes
in IEEE Access

Feng X
(2023)
Near-Instantaneously Adaptive Learning-Assisted and Compressed Sensing-Aided Joint Multi-Dimensional Index Modulation
in IEEE Open Journal of Vehicular Technology

Gao W
(2023)
Interference Mitigation-Enabled Signal Detection in Diffusive Molecular Communications Systems With Molecular-Type Spreading
in IEEE Internet of Things Journal

Sui Z
(2023)
Space-Time Shift Keying Aided OTFS Modulation for Orthogonal Multiple Access
in IEEE Transactions on Communications

Saxena S
(2023)
Sparse Channel Estimation for Visible Light Optical OFDM Systems Relying on Bayesian Learning
in IEEE Open Journal of the Communications Society

Wang Z
(2023)
Rapidly Converging Low-Complexity Iterative Transmit Precoders for Massive MIMO Downlink
in IEEE Transactions on Communications

Ahmed M
(2023)
Privacy-Preserving Distributed Beamformer Design Techniques for Correlated Parameter Estimation
in IEEE Sensors Journal

Li K
(2023)
Reconfigurable Intelligent Surface Aided Position and Orientation Estimation Based on Joint Beamforming With Limited Feedback
in IEEE Open Journal of the Communications Society

Gao X
(2023)
Multi-Objective Optimization of URLLC-Based Metaverse Services
in IEEE Transactions on Communications

Tan S
(2023)
Communication-Assisted Multi-Agent Reinforcement Learning Improves Task-Offloading in UAV-Aided Edge-Computing Networks
in IEEE Wireless Communications Letters
Description | Numerous sophisticated transmission and reception schemes were conceived, including multi-user detectors, Interleave Division Multiple Access (IDMA) schemes, Multi-user transmitters, sphere-decoders, etc; |
Exploitation Route | They have been exploited by the 20 or so companies of the Mobile Virtual Centre of Excellence (MVCE) and by the academic community through our publications and books; |
Sectors | Aerospace Defence and Marine Creative Economy Education Electronics Healthcare Transport |
URL | httP://www-mobile.ecs.soton.ac.uk |
Description | The companies of the MVCE created mobile phone products; |
First Year Of Impact | 2006 |
Sector | Aerospace, Defence and Marine,Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Electronics,Transport |
Impact Types | Cultural Societal Economic |
Description | European Union Framework 7 |
Amount | £240,000 (GBP) |
Funding ID | Concerto propject |
Organisation | European Commission |
Department | Seventh Framework Programme (FP7) |
Sector | Public |
Country | European Union (EU) |
Start | 02/2012 |
End | 12/2014 |
Description | VCE Mobile & Personal Comm Ltd |
Organisation | VCE Mobile & Personal Comm Ltd |
Country | United Kingdom |
Sector | Private |
Start Year | 2006 |